Reducing Security Wait Times at Airports
Challenge
Unpredictable wait times at security checkpoints can have a significant negative impact on a wide range of stakeholders, including passengers, airport operators, government authorities, retailers, and airlines. A vital process in the passenger journey, security checkpoints present airport operators interested in streamlining processes with a unique set of challenges.
Manual counting at security checkpoints is inefficient and ineffective for interested operators
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Speeding up security controls without disrupting the process
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Evaluating performance of individual lanes and the entire security area
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Encouraging collaboration among different stakeholders
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Managing passenger stress levels by keeping them informed of wait times
Reducing Security Wait Times by 10%
Solution
Operators need an automated data capture system that can provide real-time and historical insights to improve performance, without offending data privacy rules.
The best option is a precise, resilient system that can handle a wide range of applications. An automated tool can help operators:
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Determine queue length and wait times per security lane
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Measure process time, including subprocesses such as bag inspection
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Identify overflow into other areas such as check-in
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Improve passenger satisfaction by keeping them informed of wait times
Reducing wait times and improving passenger throughput are top priorities at Carrasco International Airport. Reaching these goals with a fully managed service such as AERO fits well within our passenger experience and data-management strategies. We have been using Xovis’ on-premises solution for seven years, and upgrading to AERO is a smart move, thinking about the challenges of the coming years.
Benefits
An analytics protocol covering the entire security area directly benefits passengers, , but delivers immense value to airport operators. Some of the most important benefits that can be realized with a robust solution include:
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Transparent communication with stakeholders and service providers
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Optimized staff and security lane planning based on accurate historic data
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Improved load-balancing by communicating predictive wait time and lane alternatives
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Enforcement of Service Level Agreements based on accurate wait time data
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Increased leisure time and airside spend opportunities for passengers
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Case studies, AirportThe Data-Driven Approach to Improving Airside Revenue
Use cases, AirportAirport Baggage Claim Optimization
Guides, AirportLevel of Service QuickGuide